Fast Discriminative Visual Codebooks using Randomized Clustering Forests.
Frank MoosmannBill TriggsFrédéric JuriePublished in: NIPS (2006)
Keyphrases
- unsupervised learning
- clustering method
- clustering algorithm
- k means
- spectral clustering
- supervised learning
- locality preserving
- graph theoretic
- data mining tasks
- categorical data
- anomaly detection
- semi supervised
- feature extraction
- distance metric
- information theoretic
- fuzzy clustering
- similarity measure
- feature selection
- discriminative features
- data sets